·Artificial Intelligence
Module 4 Lesson 1: The Core Objective – Next Token Prediction
Why does predicting the next word lead to human-like intelligence? In this lesson, we explore the simple mathematical goal that drives trillions of parameters.
training
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·Artificial Intelligence
Module 3 Lesson 2: How Embeddings Are Learned
Embeddings aren't created by humans; they are learned by machines. In this lesson, we look at the intuition behind how LLMs build their conceptual map of the world.
·AI Business
Module 6 Lesson 3: Avoiding AI Overreliance (The Automation Trap)
AI is fast, but it isn't 'right'. Learn how to prevent 'Cognitive Atrophy' in your team and why maintaining critical thinking is the most important skill in an AI-powered workplace.
·Generative AI
Module 2 Lesson 1: What Are Large Language Models (LLMs)?
Understanding the scale, training, and significance of models like GPT-4 and Claude.
·AI & LLMs
Module 11 Lesson 1: When Fine-Tuning Is Needed
RAG vs Fine-Tuning. Knowing when to give the AI a book and when to perform surgery on its brain.
·AI & LLMs
Module 11 Lesson 2: LoRA and Adapter-Based Training
Efficiency is key. How Low-Rank Adaptation (LoRA) allows us to train 8B models without a supercomputer.
·AI & LLMs
Module 11 Lesson 4: Training Tooling Overview
From scripts to studios. An overview of Unsloth, Axolotl, and MLX for local training.